saddle point

Convergence of Fast Policy Iteration in Markov Games and Robust MDPs AAAI 2026 On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks L4DC 2026 When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks COLT 2026 Efficiently Escaping Saddle Points for Policy Optimization UAI 2025 Efficiently Escaping Saddle Points in Bilevel Optimization JMLR 2025 Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations IJCAI 2025 Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding ICLR 2025 Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles JMLR 2025 Performative Reinforcement Learning with Linear Markov Decision Process AISTATS 2025 Second-Order Min-Max Optimization with Lazy Hessians ICLR 2025 Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy JMLR 2025 Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin JMLR 2025 Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses AISTATS 2024 A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER ICLR 2024 Dealing With Unbounded Gradients in Stochastic Saddle-point Optimization ICML 2024 Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024 GeONet: a neural operator for learning the Wasserstein geodesic UAI 2024 High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024 Improving Sharpness-Aware Minimization by Lookahead ICML 2024 Loss Landscape Characterization of Neural Networks without Over-Parametrization NeurIPS 2024 Only Strict Saddles in the Energy Landscape of Predictive Coding Networks? NeurIPS 2024 Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry NeurIPS 2024 The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis JMLR 2024 An SDE for Modeling SAM: Theory and Insights ICML 2023 Competitive Gradient Optimization ICML 2023